{
  "abstract": "Spatial transcriptomics has enabled the advancement of gene expression analysis, yet spatial co-expression remains understudied. We introduce spatial covariance regression (SCR), a scalable Bayesian factor-model-based framework for estimation of spatially-resolved gene co-expression networks across tissue domains. These networks provide the spatial map of gene-gene correlations and enable the identification of spatially co-expressed genes (SCGs), which serve as potential prognostic biomarkers and therapeutic targets.",
  "abstract_shown": true,
  "affiliations": [
    "University of Alabama at Birmingham"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "I. E. Buker"
    },
    {
      "name": "Y. Ni"
    },
    {
      "name": "S. C. Hicks"
    },
    {
      "name": "J. Kang"
    },
    {
      "affs": [
        0
      ],
      "name": "S. Acharyya"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2d0kx39xp3v6t.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.01.748618",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.01.748618v1.full",
  "id": "2d0kx39xp3v6t",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.01.748618v1",
  "language": null,
  "licence": "CC-BY-ND",
  "licence_label": "CC BY-ND",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "genomics"
    ],
    [
      "openalex",
      "1312|Single-cell and spatial transcriptomics"
    ]
  ],
  "openalex": "W7210275772",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.01.748618v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2d0kx39xp3v6t.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:40Z",
      "native_id": "10.64898/2026.09.01.748618",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.01.748618v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:genomics",
      "subfield": "genetics-genomics"
    }
  ],
  "title": "SCG: Spatially Co-Expressed Gene Identification through Spatially Varying Networks",
  "title_text": "SCG: Spatially Co-Expressed Gene Identification through Spatially Varying Networks",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:40Z",
  "url": "https://research.draconitic.com/paper/2d0kx39xp3v6t",
  "venue": "bioRxiv",
  "versions": []
}